Photovoltaic power station defect warning method and device based on photovoltaic module tilt angle

Abstract

This disclosure proposes a method and apparatus for early warning of photovoltaic power plant defects based on the tilt angle of photovoltaic modules. The method includes acquiring point cloud images of the photovoltaic power plant; determining all photovoltaic modules and their tilt angles based on the point cloud images; determining the defect level of the photovoltaic power plant based on the tilt angles of each photovoltaic module and a standard tilt angle; and issuing an early warning based on the defect level. The method of this disclosure enables timely and targeted early warning of defects in photovoltaic power plants.

Description

Technical Field

[0001] The present disclosure relates to the field of photovoltaic power station early warning, and in particular to a photovoltaic power station defect early warning method and device based on the tilt angle of photovoltaic components. Background Art

[0002] Photovoltaic power stations are new energy power generation systems composed of photovoltaic components (such as monocrystalline silicon solar cells). This type of power generation has high energy quality and does not require fuel consumption. It is one of the main power generation technologies in the future.

[0003] Photovoltaic power stations are composed of a large number of photovoltaic modules. After the photovoltaic modules are installed on the bracket, they often tilt due to environmental influences during use, resulting in the photovoltaic modules not being able to perform their best lighting performance. If the tilt defect is not promptly warned and handled, the power generation efficiency of the photovoltaic power station will be seriously reduced. In addition, due to the large number of photovoltaic modules, direct manual on-site inspections will not only increase labor costs, be time-consuming and labor-intensive, but also fail to handle them in a targeted manner according to different defect situations. Summary of the invention

[0004] The present disclosure aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, the first objective of the present disclosure is to propose a photovoltaic power station defect warning method based on the tilt angle of photovoltaic modules, so as to be able to provide defect warning in a timely and targeted manner.

[0006] The second objective of the present disclosure is to provide a photovoltaic power station defect warning device based on the tilt angle of photovoltaic modules.

[0007] A third objective of the present disclosure is to provide an electronic device.

[0008] A fourth object of the present disclosure is to provide a non-transitory computer-readable storage medium.

[0009] To achieve the above-mentioned purpose, the first embodiment of the present disclosure proposes a photovoltaic power station defect warning method based on the tilt angle of photovoltaic modules, comprising:

[0010] Acquire a point cloud image of the photovoltaic power station, and determine all photovoltaic modules of the photovoltaic power station and the inclination angle of each photovoltaic module based on the point cloud image;

[0011] Determining a defect level of the photovoltaic power station based on the tilt angle of each photovoltaic module and the standard tilt angle;

[0012] An early warning is provided based on the defect level of the photovoltaic power station.

[0013] In one embodiment of the present disclosure, the defect level of the photovoltaic power station is determined based on the inclination angle of each photovoltaic module and the standard inclination angle, including: obtaining the standard inclination angle of the photovoltaic module in the current time period; comparing the inclination angle of each photovoltaic module with the standard inclination angle to determine the target number of photovoltaic modules with placement defects; and determining the defect level of the photovoltaic power station based on the target number.

[0014] In one embodiment of the present disclosure, obtaining the standard tilt angle of the photovoltaic component in the current time period includes: determining a collection cycle, dividing the collection cycle into multiple time periods; acquiring historical lighting information of at least one collection cycle collected by multiple light sensors arranged in the photovoltaic power station; determining the standard tilt angle of the photovoltaic component in each time period of a collection cycle according to the historical lighting information; and using the standard tilt angle of the time period in the collection cycle corresponding to the current time period as the standard tilt angle of the photovoltaic component in the current time period.

[0015] In one embodiment of the present disclosure, the comparing the inclination angle of each photovoltaic module with the standard inclination angle to determine the target number of photovoltaic modules with placement defects includes: respectively calculating the difference between the inclination angle of each photovoltaic module and the standard inclination angle, determining whether each photovoltaic module has placement defects based on the difference and a set angle threshold, and counting the number of photovoltaic modules with placement defects to obtain the target number.

[0016] In one embodiment of the present disclosure, determining the defect level of the photovoltaic power station based on the target number includes: the defect level of the photovoltaic power station includes multiple levels, each level is provided with a corresponding ratio threshold; determining the defect level of the photovoltaic power station based on the target number and the ratio threshold.

[0017] In one embodiment of the present disclosure, the early warning based on the defect level of the photovoltaic power station includes: each level is provided with a corresponding early warning device, early warning information of the corresponding level is generated based on the defect level of the photovoltaic power station, and the early warning device is determined; the early warning information is sent to the early warning device of the corresponding level for early warning.

[0018] To achieve the above-mentioned purpose, the second embodiment of the present disclosure proposes a photovoltaic power station defect warning device based on the tilt angle of photovoltaic modules, comprising:

[0019] A processing module, used to obtain a point cloud image of the photovoltaic power station, and determine all photovoltaic modules of the photovoltaic power station and the inclination angle of each photovoltaic module based on the point cloud image;

[0020] A determination module, configured to determine a defect level of a photovoltaic power station based on the tilt angle of each photovoltaic module and a standard tilt angle;

[0021] The early warning module is used to issue an early warning based on the defect level of the photovoltaic power station.

[0022] In one embodiment of the present disclosure, the determination module is specifically used to: obtain the standard tilt angle of the photovoltaic module in the current time period; compare the tilt angle of each photovoltaic module with the standard tilt angle to determine the target number of photovoltaic modules with placement defects; and determine the defect level of the photovoltaic power station based on the target number.

[0023] To achieve the above-mentioned purpose, the third aspect embodiment of the present disclosure proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the photovoltaic power station defect warning method based on the tilt angle of photovoltaic modules according to the first aspect embodiment of the present disclosure.

[0024] In order to achieve the above-mentioned objectives, the fourth aspect embodiment of the present disclosure proposes a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute the photovoltaic power station defect warning method based on the tilt angle of photovoltaic components of the first aspect embodiment of the present disclosure.

[0025] In one or more embodiments of the present disclosure, a point cloud image of a photovoltaic power station is obtained, and all photovoltaic modules and the tilt angle of each photovoltaic module of the photovoltaic power station are determined based on the point cloud image; the defect level of the photovoltaic power station is determined based on the tilt angle of each photovoltaic module and the standard tilt angle; and an early warning is issued based on the defect level of the photovoltaic power station. In this case, all photovoltaic modules and the tilt angle of each photovoltaic module of the photovoltaic power station are determined using the point cloud image, and then the defect level of the photovoltaic power station is determined using the tilt angle of each photovoltaic module and the standard tilt angle, and then an early warning is issued, thereby being able to issue an early warning in a timely manner when the tilt angle of the photovoltaic module does not meet the requirements, and to issue an early warning in a targeted manner based on the defect level of the photovoltaic power station.

[0026] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description or learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the specific implementation of the present disclosure or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the specific implementation or prior art description. Obviously, the drawings described below are some implementations of the present disclosure. For ordinary technicians in this field, other drawings can also be obtained based on these drawings without creative work. The above and / or additional aspects and advantages of the present disclosure will become obvious and easy to understand from the following description of the embodiments in conjunction with the drawings, in which:

[0028] Figure 1 A schematic diagram of a process of a photovoltaic power station defect warning method based on the tilt angle of photovoltaic modules provided in an embodiment of the present disclosure;

[0029] Figure 2 A schematic flow chart of a method for determining a defect level of a photovoltaic power station provided by an embodiment of the present disclosure;

[0030] Figure 3 A schematic flow chart of a method for obtaining a standard tilt angle of a photovoltaic module in a current period provided by an embodiment of the present disclosure;

[0031] Figure 4 A block diagram of a photovoltaic power station defect warning device based on the tilt angle of photovoltaic modules provided in an embodiment of the present disclosure;

[0032] Figure 5 The block diagram is a block diagram of an electronic device used to implement the photovoltaic power station defect warning method based on the photovoltaic module tilt angle according to the embodiment of the present disclosure. DETAILED DESCRIPTION

[0033] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the embodiments of the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the embodiments of the present disclosure as detailed in the appended claims.

[0034] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0035] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the present disclosure, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. It should also be understood that the term "and / or" used in the present disclosure refers to and includes any or all possible combinations of one or more associated listed items.

[0036] Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0037] The present disclosure provides a photovoltaic power station defect warning method and device based on the tilt angle of photovoltaic modules, the main purpose of which is to provide defect warning in a timely and targeted manner.

[0038] In a first embodiment, Figure 1 The flowchart of a photovoltaic power station defect warning method based on the tilt angle of photovoltaic modules provided by the embodiment of the present disclosure is as follows. Figure 1 As shown, the photovoltaic power station defect early warning method based on the photovoltaic module tilt angle includes the following steps:

[0039] Step S11 , obtaining a point cloud image of the photovoltaic power station, and determining all photovoltaic modules of the photovoltaic power station and the inclination angle of each photovoltaic module based on the point cloud image.

[0040] In some embodiments, the point cloud image of the photovoltaic power station acquired in step S11 can be acquired in real time by an image acquisition device, or can be acquired from an image database. The image acquisition device can be, for example, a drone.

[0041] It is easy to understand that a photovoltaic module is a single-crystal silicon solar cell. A photovoltaic power station includes multiple photovoltaic modules.

[0042] In some embodiments, determining all photovoltaic modules and the tilt angle of each photovoltaic module of a photovoltaic power station based on a point cloud image can be implemented by a server or other computer equipment with data processing functions. For example, the server can obtain a point cloud image of a photovoltaic power station collected by a drone, and the point cloud image of the photovoltaic power station can include multiple photovoltaic modules. Then the server uses an image recognition algorithm to determine each photovoltaic module from the collected point cloud image, and then the server can continue to determine the tilt angle of each photovoltaic module through each photovoltaic module in the point cloud image.

[0043] In this embodiment, the tilt angle of the photovoltaic module may include at least one of a horizontal angle and a vertical angle. The horizontal angle is the angle between the photovoltaic module plane and the X plane. The vertical angle is the angle between the photovoltaic module plane and the Y plane. The X plane is perpendicular to the Y plane. The photovoltaic module plane may be the plane where the monocrystalline silicon solar panel is located, the X plane may be, for example, a ground plane, and the Y plane may be, for example, a plane perpendicular to the ground plane.

[0044] Step S12, determining the defect level of the photovoltaic power station based on the tilt angle of each photovoltaic module and the standard tilt angle.

[0045] In some embodiments, determining the defect level of the photovoltaic power plant based on the tilt angle of each photovoltaic module and the standard tilt angle may be implemented by a server.

[0046] In step S12, if the photovoltaic modules are not placed correctly, the photovoltaic modules will not be able to achieve the best lighting. Therefore, if the inclination angle of the photovoltaic modules does not meet the requirements, it is considered that the photovoltaic modules have defects, and then the defect level of the photovoltaic power station is evaluated. Specifically, Figure 2 FIG. 1 is a flow chart of a method for determining a defect level of a photovoltaic power station provided by an embodiment of the present disclosure. In step S12, Figure 2 As shown, the method for determining the defect level of a photovoltaic power station includes: obtaining the standard tilt angle of the photovoltaic components in the current period (step S121); comparing the tilt angle of each photovoltaic component with the standard tilt angle, and determining the target number of photovoltaic components with placement defects (step S122); and determining the defect level of the photovoltaic power station based on the target number (step S123).

[0047] Figure 3 The schematic diagram of the method for obtaining the standard tilt angle of the photovoltaic module in the current period provided by the embodiment of the present disclosure is as follows. In step S121, Figure 3 As shown, the method for obtaining the standard tilt angle of the photovoltaic component in the current time period includes: determining a collection period, dividing the collection period into multiple time periods (step S1211); acquiring historical light information of at least one collection period collected by multiple light sensors arranged in the photovoltaic power station (step S1212); determining the standard tilt angle of the photovoltaic component in each time period of a collection cycle according to the historical light information (step S1213); and using the standard tilt angle of the time period corresponding to the current time period in the collection cycle as the standard tilt angle of the photovoltaic component in the current time period (step S1214).

[0048] Among them, in step S1211, the collection cycle can be based on years, for example, one year is one collection cycle. In addition, the collection cycle can be divided into multiple time periods in a quarterly or seasonal manner. For example, in a quarterly manner, a collection cycle includes four time periods, and the four time periods are the first quarter, the second quarter, the third quarter, and the fourth quarter. If in a seasonal manner, a collection cycle includes four time periods, and the four time periods are spring, summer, autumn, and winter. The division method of multiple time periods disclosed in the present invention is not limited to this.

[0049] In step S1212, the historical illumination information of a collection cycle is the illumination information of a collection cycle that has occurred. Considering that the angle of sunlight shining on the photovoltaic components is different in different time periods, and the angle of the light will affect the amount of daylight in the time period, the illumination information may include the amount of daylight.

[0050] In addition, light sensors are arranged on the plane of the photovoltaic module (i.e. the plane where the monocrystalline silicon solar panel is located), and the same number of light sensors are arranged on each photovoltaic module. The light sensor is used to output light information, which can then be sent to the server.

[0051] Among them, in step S1213, the standard tilt angle of the photovoltaic assembly in each time period of a collection cycle can be determined based on the amount of daylight. Specifically, a time period is selected, and based on the amount of daylight output by the light sensor set on each photovoltaic assembly, the photovoltaic assembly where the light sensor outputting the maximum amount of daylight in the time period is located is determined, and then the tilt angle corresponding to the photovoltaic assembly is obtained, and the tilt angle corresponding to the photovoltaic assembly is used as the standard tilt angle of the time period. Then the time period is changed, and the standard tilt angle of the changed time period is obtained by analogy, until the standard tilt angles corresponding to all time periods of a collection cycle are obtained.

[0052] Among them, in step S1214, the standard tilt angle of the time period corresponding to the current time period in the collection cycle is used as the standard tilt angle of the photovoltaic module in the current time period, specifically including: determining the current time period based on the current time; determining the corresponding time period of the current time period in the collection cycle; and using the standard tilt angle of the corresponding time period as the standard tilt angle of the photovoltaic module in the current time period. For example, based on the current time, determine which quarter or season the photovoltaic power station is in. If the current time period is the first quarter, the standard tilt angle of the first quarter of the collection cycle obtained in step S1213 is selected as the standard tilt angle of the photovoltaic module in the current time period; if the current time period is summer, the standard tilt angle of the summer of the collection cycle obtained in step S1213 is selected as the standard tilt angle of the photovoltaic module in the current time period.

[0053] In step S122, the inclination angle of each photovoltaic module is compared with the standard inclination angle to determine the target number of photovoltaic modules with placement defects, including: respectively calculating the difference between the inclination angle of each photovoltaic module and the standard inclination angle, determining whether each photovoltaic module has a placement defect based on the difference and the set angle threshold, and counting the number of photovoltaic modules with placement defects to obtain the target number. Among them, if the difference of a photovoltaic module is less than or equal to the set angle threshold, the inclination angle of the photovoltaic module meets the requirements, that is, the photovoltaic module does not have a placement defect; if the difference of the photovoltaic module is greater than the set angle threshold, it means that the difference between the inclination angle of the photovoltaic module and the standard inclination angle is too large, and the photovoltaic module cannot obtain the maximum amount of light to exert the maximum power generation performance, so the inclination angle of the photovoltaic module does not meet the requirements, that is, the photovoltaic module has a placement defect.

[0054] In some embodiments, when the difference between the tilt angle of the photovoltaic module and the standard tilt angle is greater than a set angle threshold, the greater the difference is, the greater the degree of placement defect of the photovoltaic module is.

[0055] In step S123, the defect level of the photovoltaic power station is determined based on the target number, including: the defect level of the photovoltaic power station includes multiple levels, each level is set with a corresponding ratio threshold; the defect level of the photovoltaic power station is determined based on the target number and the ratio threshold. Among them, based on the target number and the total number of photovoltaic modules in the photovoltaic power station, the target ratio of the number of photovoltaic modules with placement defects to the total number of photovoltaic modules in the photovoltaic power station is obtained, and the target ratio is compared with the ratio threshold corresponding to each level to determine the defect level of the photovoltaic power station.

[0056] In some embodiments, the defect level of the photovoltaic power station may include three levels, namely the first level, the second level and the third level, the ratio threshold corresponding to the first level is, for example, 10%, the ratio threshold corresponding to the second level is, for example, 20%, and the ratio threshold corresponding to the third level is, for example, 30%. If the target ratio is greater than or equal to 10% and less than 20%, the defect level of the photovoltaic power station is the first level; if the target ratio is greater than or equal to 20% and less than 30%, the defect level of the photovoltaic power station is the second level; if the target ratio is greater than or equal to 30%, the defect level of the photovoltaic power station is the third level.

[0057] Step S13: issuing an early warning based on the defect level of the photovoltaic power station.

[0058] In some embodiments, the early warning based on the defect level of the photovoltaic power station can be implemented by a server, that is, the server can issue a defect early warning for the photovoltaic power station according to different levels of the defect level of the photovoltaic power station.

[0059] In step S13, an early warning is issued based on the defect level of the photovoltaic power station, including: each level is provided with a corresponding early warning device, early warning information of the corresponding level is generated based on the defect level of the photovoltaic power station, and the early warning device is determined; the early warning information is sent to the early warning device of the corresponding level for early warning.

[0060] In this embodiment, the generated warning information and the corresponding warning device are different according to the different defect levels of the photovoltaic power station determined in step S12.

[0061] In some embodiments, the early warning device is determined based on the defect level of the photovoltaic power station. Different early warning devices correspond to different early warning objects. Specifically, there is an association between the early warning device and the defect level of the photovoltaic power station. The server can determine the corresponding early warning device according to the determined defect level of the photovoltaic power station and the preset association, and then remind the early warning object through the corresponding early warning device. For example, when the defect level is the first level, it means that the number of photovoltaic components with placement defects is small, and the early warning object corresponding to the first level is, for example, ordinary inspection staff. When the defect level is the second level, it means that the number of photovoltaic components with placement defects is medium, and the early warning object corresponding to the second level is, for example, a high-level staff of the photovoltaic power station. When the defect level is the third level, it means that the number of photovoltaic components with placement defects is large and the defect level is more serious. The early warning object corresponding to the third level can be, for example, all the staff of the power station.

[0062] In some embodiments, warning information of corresponding levels is generated based on the defect level of the photovoltaic power station. The warning information includes at least the location information of the photovoltaic components with placement defects and placement correction suggestion information. Specifically, the warning information can be sent to the warning object through the warning device, and the warning object can obtain the location information of the photovoltaic components with placement defects from the warning information, wherein the warning information (input placement correction suggestion information) can be generated by the server according to the difference between the current tilt angle of the photovoltaic component and the standard tilt angle, for example, moving the photovoltaic component 15° to the upper right.

[0063] In the photovoltaic power station defect warning method based on the photovoltaic module tilt angle of the embodiment of the present disclosure, a point cloud image of the photovoltaic power station is obtained, and all photovoltaic modules and the tilt angle of each photovoltaic module of the photovoltaic power station are determined based on the point cloud image; the defect level of the photovoltaic power station is determined based on the tilt angle of each photovoltaic module and the standard tilt angle; and a warning is issued based on the defect level of the photovoltaic power station. In this case, all photovoltaic modules and the tilt angle of each photovoltaic module of the photovoltaic power station are determined using the point cloud image, and then the defect level of the photovoltaic power station is determined using the tilt angle of each photovoltaic module and the standard tilt angle, and then a warning is issued, thereby being able to issue a warning in a timely manner when the tilt angle of the photovoltaic module does not meet the requirements, and to issue a warning in a targeted manner based on the defect level of the photovoltaic power station. Compared with the prior art, the method disclosed in the present invention does not need to rely on staff to manually measure the tilt angle of the photovoltaic module and then issue an artificial warning. Compared with the prior art, it can issue an early warning more promptly when a tilt defect occurs in the photovoltaic module, reduce labor costs, save time and effort, and issue an early warning after the defect level of the photovoltaic power station is assessed, so that the photovoltaic power station can arrange staff to handle it more targetedly, avoiding the waste of manpower and time costs caused by unreasonable arrangements, and reducing or avoiding the technical problem that the photovoltaic module cannot exert its best lighting performance due to the tilt of the photovoltaic module due to the influence of the environment during use, thereby affecting the power generation efficiency of the photovoltaic power station.

[0064] The following are embodiments of the device disclosed herein, which can be used to execute the method embodiments disclosed herein. For details not disclosed in the device embodiments disclosed herein, please refer to the method embodiments disclosed herein.

[0065] See also Figure 4 , Figure 4 A block diagram of a photovoltaic power station defect warning device based on the tilt angle of photovoltaic modules provided in an embodiment of the present disclosure. The photovoltaic power station defect warning device based on the tilt angle of photovoltaic modules 10 includes a processing module 11, a determination module 12 and an early warning module 13, wherein:

[0066] The processing module 11 is used to obtain a point cloud image of the photovoltaic power station, and determine all photovoltaic modules and the inclination angle of each photovoltaic module of the photovoltaic power station based on the point cloud image;

[0067] A determination module 12, configured to determine a defect level of a photovoltaic power station based on the tilt angle of each photovoltaic module and a standard tilt angle;

[0068] The early warning module 13 is used to issue an early warning based on the defect level of the photovoltaic power station.

[0069] Optionally, the determination module 12 is specifically used to: obtain the standard tilt angle of the photovoltaic module in the current time period; compare the tilt angle of each photovoltaic module with the standard tilt angle to determine the target number of photovoltaic modules with placement defects; and determine the defect level of the photovoltaic power station based on the target number.

[0070] Optionally, the determination module 12, when used to obtain the standard tilt angle of the photovoltaic component in the current time period, is specifically used to: determine a collection period, and divide the collection period into multiple time periods; obtain historical light information of at least one collection period collected by multiple light sensors arranged in the photovoltaic power station; determine the standard tilt angle of the photovoltaic component in each time period of a collection cycle according to the historical light information; and use the standard tilt angle of the time period corresponding to the current time period in the collection cycle as the standard tilt angle of the photovoltaic component in the current time period.

[0071] Optionally, the judgment module 12, when used to compare the inclination angle of each photovoltaic module with the standard inclination angle to determine the target number of photovoltaic modules with placement defects, is specifically used to: respectively calculate the difference between the inclination angle of each photovoltaic module and the standard inclination angle, determine whether each photovoltaic module has placement defects based on the difference and a set angle threshold, and count the number of photovoltaic modules with placement defects to obtain the target number.

[0072] Optionally, when the determination module 12 is used to determine the defect level of the photovoltaic power station based on the target quantity, it is specifically used to: the defect level of the photovoltaic power station includes multiple levels, each level is set with a corresponding ratio threshold; determine the defect level of the photovoltaic power station based on the target quantity and the ratio threshold. Among them, the early warning based on the defect level of the photovoltaic power station includes: each level is set with a corresponding early warning device, based on the defect level of the photovoltaic power station, the early warning information of the corresponding level is generated, and the early warning device is determined; the early warning information is sent to the early warning device of the corresponding level for early warning.

[0073] It should be noted that the above explanation of the embodiment of the photovoltaic power station defect warning method based on the photovoltaic module tilt angle is also applicable to the photovoltaic power station defect warning device based on the photovoltaic module tilt angle of this embodiment, which will not be repeated here.

[0074] In the photovoltaic power station defect warning device based on the photovoltaic module tilt angle of the embodiment of the present disclosure, the processing module obtains the point cloud image of the photovoltaic power station, and determines all photovoltaic modules and the tilt angle of each photovoltaic module of the photovoltaic power station based on the point cloud image; the determination module determines the defect level of the photovoltaic power station based on the tilt angle of each photovoltaic module and the standard tilt angle; the warning module issues a warning based on the defect level of the photovoltaic power station. In this case, the point cloud image is used to determine all photovoltaic modules and the tilt angle of each photovoltaic module of the photovoltaic power station, and then the tilt angle of each photovoltaic module and the standard tilt angle are used to determine the defect level of the photovoltaic power station, and then the warning is issued, so that a warning can be issued in time when the tilt angle of the photovoltaic module does not meet the requirements, and a warning can be issued in a targeted manner based on the defect level of the photovoltaic power station. Compared with the prior art, the device disclosed in the present invention does not need to rely on staff to manually measure the tilt angle of the photovoltaic module and then issue an artificial warning. Compared with the prior art, it can issue an early warning more promptly when a tilt defect occurs in the photovoltaic module, reduce labor costs, save time and effort, and issue an early warning after assessing the defect level of the photovoltaic power station, so that the photovoltaic power station can arrange staff to handle it more targetedly, avoiding the waste of manpower and time costs caused by unreasonable arrangements, and reducing or avoiding the technical problem that the photovoltaic module cannot exert its best lighting performance due to the tilt of the photovoltaic module due to the influence of the environment during use, thereby affecting the power generation efficiency of the photovoltaic power station.

[0075] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0076] Figure 5 It is a block diagram of an electronic device for implementing the photovoltaic power station defect warning method based on the tilt angle of photovoltaic components of the embodiment of the present disclosure. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable electronic devices and other similar computing devices. The components, connections and relationships of the components, and functions of the components shown in the present disclosure are merely examples and are not intended to limit the implementation of the present disclosure described and / or required in the present disclosure.

[0077] like Figure 5As shown, the electronic device 20 includes a computing unit 21, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 22 or a computer program loaded from a storage unit 28 into a random access memory (RAM) 23. In the RAM 23, various programs and data required for the operation of the electronic device 20 can also be stored. The computing unit 21, the ROM 22, and the RAM 23 are connected to each other via a bus 24. An input / output (I / O) interface 25 is also connected to the bus 24.

[0078] A number of components in the electronic device 20 are connected to the I / O interface 25, including: an input unit 26, such as a keyboard, a mouse, etc.; an output unit 27, such as various types of displays, speakers, etc.; a storage unit 28, such as a disk, an optical disk, etc., which is communicatively connected to the computing unit 21; and a communication unit 29, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 29 allows the electronic device 20 to exchange information / data with other electronic devices through a computer network such as the Internet and / or various telecommunication networks.

[0079] The computing unit 21 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 21 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 21 performs the various methods and processes described above, such as performing a photovoltaic power station defect warning method based on the tilt angle of photovoltaic components. For example, in some embodiments, the photovoltaic power station defect warning method based on the tilt angle of photovoltaic components may be implemented as a computer software program, which is tangibly included in a machine-readable medium, such as a storage unit 28. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 20 via the ROM 22 and / or the communication unit 29. When the computer program is loaded into the RAM 23 and executed by the computing unit 21, one or more steps of the photovoltaic power station defect warning method based on the tilt angle of photovoltaic components described above may be executed. Alternatively, in other embodiments, the calculation unit 21 may be configured to execute the photovoltaic power station defect early warning method based on the tilt angle of the photovoltaic components in any other appropriate manner (for example, by means of firmware).

[0080] Various embodiments of the systems and techniques described above in the present disclosure may be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0081] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0082] In the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or electronic device. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or electronic device, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage electronic device, a magnetic storage electronic device, or any suitable combination of the foregoing.

[0083] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0084] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), the Internet, and a blockchain network.

[0085] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0086] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this disclosure is not limited here.

[0087] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A photovoltaic power station defect warning method based on the tilt angle of photovoltaic modules, characterized in that: include: Acquire a point cloud image of a photovoltaic power station, and determine all photovoltaic modules of the photovoltaic power station and the inclination angle of each photovoltaic module based on the point cloud image, wherein the point cloud image of the photovoltaic power station includes a plurality of photovoltaic modules; Determining a defect level of the photovoltaic power station based on the tilt angle of each photovoltaic module and the standard tilt angle; Providing early warning based on the defect level of the photovoltaic power station; The step of determining the defect level of the photovoltaic power station based on the tilt angle of each photovoltaic module and the standard tilt angle includes: Obtaining a standard tilt angle of the photovoltaic module in the current period; Comparing the tilt angle of each photovoltaic module with the standard tilt angle, and determining a target number of photovoltaic modules with placement defects; determining a defect level of the photovoltaic power station based on the target quantity; The step of determining the defect level of the photovoltaic power station based on the target quantity includes: The photovoltaic power station defect level includes multiple levels, and each level is set with a corresponding ratio threshold; Determining the defect level of the photovoltaic power station based on the target number and the ratio threshold; The early warning based on the defect level of the photovoltaic power station includes: Each level is provided with a corresponding early warning device, and early warning information of the corresponding level is generated based on the defect level of the photovoltaic power station, and the early warning device is determined; Sending the warning information to the warning device of the corresponding level for warning; The early warning device sends early warning information to the early warning object, and the early warning object obtains the location information of the photovoltaic components with placement defects and placement correction suggestion information from the early warning information.

2. The photovoltaic power station defect early warning method based on the photovoltaic module tilt angle according to claim 1 is characterized in that: The step of obtaining the standard tilt angle of the photovoltaic module in the current period includes: Determine a collection period, and divide the collection period into a plurality of time periods; Acquire historical light information collected by multiple light sensors disposed in the photovoltaic power station for at least one collection period; Determine the standard tilt angle of the photovoltaic module in each time period of a collection cycle according to the historical illumination information; The standard tilt angle of the time period corresponding to the current time period in the acquisition cycle is used as the standard tilt angle of the photovoltaic assembly in the current time period.

3. The photovoltaic power station defect early warning method based on the photovoltaic module tilt angle according to claim 1 is characterized in that: The comparing the tilt angle of each photovoltaic module with the standard tilt angle to determine the target number of photovoltaic modules with placement defects includes: The difference between the inclination angle of each photovoltaic module and the standard inclination angle is calculated respectively, and whether each photovoltaic module has a placement defect is determined based on the difference and a set angle threshold, and the number of photovoltaic modules with placement defects is counted to obtain a target number.

4. A photovoltaic power station defect warning device based on the tilt angle of photovoltaic modules, characterized in that: include: A processing module, used to obtain a point cloud image of a photovoltaic power station, and determine all photovoltaic modules of the photovoltaic power station and the inclination angle of each photovoltaic module based on the point cloud image, wherein the point cloud image of the photovoltaic power station includes a plurality of photovoltaic modules; A determination module, configured to determine a defect level of a photovoltaic power station based on the tilt angle of each photovoltaic module and a standard tilt angle; An early warning module, used for issuing an early warning based on the defect level of the photovoltaic power station; The determination module is specifically used for: Obtaining a standard tilt angle of the photovoltaic module in the current period; Comparing the tilt angle of each photovoltaic module with the standard tilt angle, and determining a target number of photovoltaic modules with placement defects; determining a defect level of the photovoltaic power station based on the target quantity; The step of determining the defect level of the photovoltaic power station based on the target quantity includes: The photovoltaic power station defect level includes multiple levels, and each level is set with a corresponding ratio threshold; Determining the defect level of the photovoltaic power station based on the target number and the ratio threshold; The warning module is also used to set corresponding warning devices at each level, generate warning information of corresponding levels based on the defect level of the photovoltaic power station, and determine the warning devices; Sending the warning information to the warning device of the corresponding level for warning; The early warning device sends early warning information to the early warning object, and the early warning object obtains the location information of the photovoltaic components with placement defects and placement correction suggestion information from the early warning information.

5. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the photovoltaic power station defect warning method based on the tilt angle of photovoltaic components described in any one of claims 1-3.

6. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to enable the computer to execute the photovoltaic power station defect early warning method based on the photovoltaic component tilt angle according to any one of claims 1-3.

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